The article presents the development of a spectroscopic water resource monitoring system utilizing modern optical sensors and microcontrollers for real-time automated water quality assessment. The primary objective is to create an intelligent system for water condition evaluation, enabling the detection of organic and inorganic contaminants through spectral analysis. The system is equipped with the AS7265x spectroscopic sensor, operating in the visible and near-infrared ranges, allowing for high-precision spectral analysis. Additionally, a DFRobot turbidity sensor and a waterproof DS18B20 temperature sensor are integrated to enhance measurement accuracy. Data management and processing are carried out using an ESP32 microcontroller, which ensures data collection, analysis, and transmission via Wi-Fi, as well as data storage on an SD card for further processing. The practical application of the developed system includes ecological monitoring of natural and anthropogenic water bodies, evaluating the efficiency of filtration systems, and promptly detecting changes in water composition. The integration of spectroscopy, sensor analysis, and artificial intelligence creates a powerful tool to enhance the efficiency and accessibility of water resource monitoring.
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